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Robust predictive control of a wet-clutch using evolutionary algorithm optimized engagement profile

Abhishek Dutta UGent, Robain De Keyser UGent, Yu Zhong UGent, Bart Wyns UGent, Georges Pinte and Julian Stoev (2011) 2011 15th International conference on system theory, control and computing. p.218-223
abstract
Modeling of hydraulic clutch transmissions are not straightforward because of their hard nonlinearities. Therefore a model-free optimizer is used to tune the input parameters for desired operation, thereby generating optimal reference trajectory. However these machines suffer from time varying dynamics, hence a feedback predictive control is used to track this reference against identified linear sub-models to ensure robust performance. This two step strategy is called Learning Predictive Control.
Please use this url to cite or link to this publication:
author
organization
year
type
conference
publication status
published
subject
keyword
learning systems, optimal control, feedback, clutches, evolutionary computation, predictive control, robust control
in
2011 15th International conference on system theory, control and computing
editor
Mihael Voicu
pages
218 - 223
publisher
IEEE
place of publication
Piscataway, NJ, USA
conference name
2011 15th International conference on System Theory, Control and Computing (ICSTCC 2011)
conference location
Sinaia, Romania
conference start
2011-10-14
conference end
2011-10-16
Web of Science type
Conference Paper
Web of Science id
12390442
ISSN
2068-0465
ISBN
9781457711732
language
English
UGent publication?
yes
classification
C1
copyright statement
I have transferred the copyright for this publication to the publisher
id
1996941
handle
http://hdl.handle.net/1854/LU-1996941
date created
2012-01-19 14:55:19
date last changed
2012-01-26 15:36:12
@inproceedings{1996941,
  abstract     = {Modeling of hydraulic clutch transmissions are not straightforward because of their hard nonlinearities. Therefore a model-free optimizer is used to tune the input parameters for desired operation, thereby generating optimal reference trajectory. However these machines suffer from time varying dynamics, hence a feedback predictive control is used to track this reference against identified linear sub-models to ensure robust performance. This two step strategy is called Learning Predictive Control.},
  author       = {Dutta, Abhishek and De Keyser, Robain and Zhong, Yu and Wyns, Bart and Pinte, Georges and Stoev, Julian},
  booktitle    = {2011 15th International conference on system theory, control and computing},
  editor       = {Voicu, Mihael},
  isbn         = {9781457711732},
  issn         = {2068-0465},
  keyword      = {learning systems,optimal control,feedback,clutches,evolutionary computation,predictive control,robust control},
  language     = {eng},
  location     = {Sinaia, Romania},
  pages        = {218--223},
  publisher    = {IEEE},
  title        = {Robust predictive control of a wet-clutch using evolutionary algorithm optimized engagement profile},
  year         = {2011},
}

Chicago
Dutta, Abhishek, Robain De Keyser, Yu Zhong, Bart Wyns, Georges Pinte, and Julian Stoev. 2011. “Robust Predictive Control of a Wet-clutch Using Evolutionary Algorithm Optimized Engagement Profile.” In 2011 15th International Conference on System Theory, Control and Computing, ed. Mihael Voicu, 218–223. Piscataway, NJ, USA: IEEE.
APA
Dutta, A., De Keyser, R., Zhong, Y., Wyns, B., Pinte, G., & Stoev, J. (2011). Robust predictive control of a wet-clutch using evolutionary algorithm optimized engagement profile. In M. Voicu (Ed.), 2011 15th International conference on system theory, control and computing (pp. 218–223). Presented at the 2011 15th International conference on System Theory, Control and Computing (ICSTCC 2011), Piscataway, NJ, USA: IEEE.
Vancouver
1.
Dutta A, De Keyser R, Zhong Y, Wyns B, Pinte G, Stoev J. Robust predictive control of a wet-clutch using evolutionary algorithm optimized engagement profile. In: Voicu M, editor. 2011 15th International conference on system theory, control and computing. Piscataway, NJ, USA: IEEE; 2011. p. 218–23.
MLA
Dutta, Abhishek, Robain De Keyser, Yu Zhong, et al. “Robust Predictive Control of a Wet-clutch Using Evolutionary Algorithm Optimized Engagement Profile.” 2011 15th International Conference on System Theory, Control and Computing. Ed. Mihael Voicu. Piscataway, NJ, USA: IEEE, 2011. 218–223. Print.